Get LinkedIn post data by given URL and save to Coda
This is a Bardeen playbook. It's a pre-built automation template you can run in one-click to perform a repetitive task. Get started with our free Chrome extension.
How does this automation work?
Bardeen's Playbook offers a seamless solution for sourcing data from LinkedIn and organizing it within Coda, streamlining the process of data collection and management. By automating the extraction of LinkedIn post data and its integration into a Coda table, businesses can efficiently monitor social engagement, track competitors, or collect data for research purposes without manual effort.
Here's how this workflow efficiently captures data from LinkedIn posts and saves it to Coda for easy access and analysis:
- Step 1: Scrape LinkedIn Post - Bardeen uses its Scraper to automatically extract data from a LinkedIn post. Simply provide the URL of the post, and the Scraper will do the rest in the background, using a pre-configured LinkedIn Post Scraper template.
- Step 2: Save Data to Coda - The data collected from the LinkedIn post is then saved to a specified Coda document and table. Coda's versatile platform allows for easy manipulation and visualization of the data you've collected.
How to run the playbook
This playbook will extract data from a LinkedIn post using the URL provided and save the data to a Coda table. The data that will be extracted includes the post author, the date when the post was published, the number of reactions, the number of comments, and the number of shares.
Please be aware that the excessive or abusive use of extensions, bots, or automation tools on some websites can lead to penalties, including temporary or even permanent restrictions on your account. We recommend you read and adhere to the specific terms of the websites you are visiting and using to avoid any disruptions or issues. We do not assume any responsibility for the consequences of abuse.
Step 1: Create a Coda Table
Click the 'Pin it' button at the top of this page to save this automation.
You will be redirected to install the browser extension when you run it for the first time. Bardeen will also prompt you to integrate Coda.
To use this playbook, first create a Coda table to save the LinkedIn post data.
Step 2: Run the automation
Press Option + B (or Alt + B if you are on a Window machine) on your keyboard to launch Bardeen.
Copy the URL of the LinkedIn post into the URL column. Run the playbook by clicking on the 'run' button. The data from the LinkedIn post will be extracted and saved to the Coda table.
Source more integration opportunities with LinkedIn integrations, Coda integrations, or a combination of both Coda and LinkedIn, or tailor the playbook to better suit your specific workflow needs.
Learn more about the awesome sales and prospecting automations, marketing automations, product development integrations, data-sourcing integrations, and recruiting available.
Your proactive teammate — doing the busywork to save you time
Integrate your apps and websites
Use data and events in one app to automate another. Bardeen supports an increasing library of powerful integrations.
Perform tasks & actions
Bardeen completes tasks in apps and websites you use for work, so you don't have to - filling forms, sending messages, or even crafting detailed reports.
Combine it all to create workflows
Workflows are a series of actions triggered by you or a change in a connected app. They automate repetitive tasks you normally perform manually - saving you time.
FAQs
You can create a Bardeen Playbook to scrape data from a website and then send that data as an email attachment.
Unfortunately, Bardeen is not able to download videos to your computer.
Exporting data (ex: scraped data or app data) from Bardeen to Google Sheets is possible with our action to “Add Rows to Google Sheets”.
There isn't a specific AI use case available for automatically recording and summarizing meetings at the moment
Please follow the following steps to edit an action in a Playbook or Autobook.
Cases like this require you to scrape the links to the sections and use the background scraper to get details from every section.